Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous
Driving via Semantic Masked World Model

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model

8 October 2022

Zeyu Gao

Shengbo Eben Li

Ping Luo

Papers citing "Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model"

9 / 9 papers shown

Title
GLAM: Global-Local Variation Awareness in Mamba-based World Model Qian He Wenqi Liang Chunhui Hao Gan Sun Jiandong Tian 63 0 0 21 Jan 2025
Learning Occlusion-aware Decision-making from Agent Interaction via Active Perception Jie Jia Yiming Shu Zhongxue Gan Wenchao Ding 44 1 0 26 Sep 2024
Residual-MPPI: Online Policy Customization for Continuous Control Pengcheng Wang Chenran Li Catherine Weaver Kenta Kawamoto Masayoshi Tomizuka Chen Tang Wei Zhan OffRL 37 3 0 01 Jul 2024
DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning Zeyu Gao Yao Mu Jinye Qu Mengkang Hu Lingyue Guo Ping Luo Yanfeng Lu Ping Luo Shanghang Zhang Yanfeng Lu 54 10 0 14 Jun 2024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability Shenyuan Gao Jiazhi Yang Li Chen Kashyap Chitta Yihang Qiu Andreas Geiger Jun Zhang Hongyang Li 71 75 0 27 May 2024
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving Xiaofeng Wang Zheng Hua Zhu Guan Huang Xinze Chen Jiagang Zhu Jiwen Lu VGen 27 149 0 18 Sep 2023
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning Guangxiang Zhu Minghao Zhang Honglak Lee Chongjie Zhang OffRL 71 17 0 23 Oct 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 171 1,640 0 02 Feb 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li Masayoshi Tomizuka 52 226 0 23 Jan 2020